• Leading a high-performing team of 11 planning analysts to deliver successful weekly short and long-term plans for on-time delivery of over 5 million customer packages per day.• Built a comprehensive end-to-end program to accurately plan and optimise 32k vehicle distribution across Europe, North America and Japan, resulting in a $XXMM cost saving and optimising organisational structures.• Cross-functional collaboration with tech, operations, and finance teams as EU Peak Captain to develop comprehensive capacity plans and orchestrate a smooth ramp-up and ramp-down of operations to ensure customer satisfaction for a successful Peak Season 2023.• Developed new advanced data analysis and forecasting techniques with analytics/BI teams that reduced the weekly planning cadences by 20%, allowing the team to model future capacity needs based on demand projections, tech introductions, and market trends.• Standardised the workload planning process across Italy’s 65 delivery stations leading to a $XMM yearly cost saving through increased route productivity in the country.

• Utilised Lean Principles, data analytics, and process optimization techniques to identify and eliminate waste in routing tech, payment standardisation and operational improvements, leading to a $XXMM cost saving in 2023.• Enhanced the 'Driver Workload' program across the EU during Peak 2021 and 2022, implementing standardised processes to reduce drivers' workload. Developed a comprehensive end-to-end resource plan that influenced EU finance directors, successfully reducing planning buffers by 30%, resulting in annual cost savings of $XXMM.• Re-designed the learning journey processes of new drivers in the EU focusing on Early Attrition, Quality and Experience. Partnered with science, data engineering and tech teams to build a complex modelling solution using Amazon S3 and Redshift to yield an EU cost saving of $39.2MM per year.• Implemented dispatch standardisation and change management improvements in EU and NA after gaining VP approval, which resulted in $XXM annual savings boosting driver affinity and increasing efficiency by 2%.

• Led an internal expert "SWAT team," known as the “Tiger Team,” across four underperforming sites in the UK over 10-week periods, achieving savings of over $XM in station benefits and $XXXK in on-road benefits through early warehousing operational modelling, with the approval of UK leadership.• Designed automated tools to enhance existing best practices for warehousing operational models across 196 stations EU-wide, achieving a 6% productivity boost, saving over $XM per quarter before Peak 2021.• Standardised capacity planning tools and training materials, establishing best practices for EU-wide labour planning, resulting in a 35% increase in shift planning accuracy and $XM in productivity savings.• Designed several user tools to support the Tiger Team's continuous improvement efforts, including cost modelling tools, EU-wide productivity dashboards through Tableau and Amazon Quicksight, an associate task booking solution, and a dispatch tool to provide visibility into live fleet activity data.

• Led transformational projects in digital manufacturing (Minimum Standards and SIMATIC IT 7), modernising legacy factories to enhance traceability and data analysis, driving 6% yearly reduction in scrap valued at $2.2MM.• Delivered $7MM projects aimed at implementing Industry 4.0 capabilities to transform legacy equipment into industry standards paving the way for smart factories and future projects through Microsoft Azure.• Established new digital processes to reduce production and IT downtime by 17% across multiple global Turbines plants in collaboration with plant-based engineers and capability acquisition.• Enhanced manufacturing operations at Derby's three major factories by applying Agile methodologies to implement tailored systems architecture in collaboration with IT, enabling Internet of Things (IoT) capabilities while ensuring compliance with governance control, data retention, and security standards.

• Assigned as a Systems Engineer to define a new strategy for Digital Twin within the Turbines Supply Chain Units’ six global manufacturing plants.• Successfully led a cross-functional team of consultants, designers and project managers to deliver a 3D virtual replica of a turbine blade casting and machining facility. This allowed manufacturing engineers and operations managers to simulate layout changes reducing installation time by 25% and improved throughput and cycle time by 15% for yielding ~$10MM annual benefits.

• Undertook a Team Leader role in Cranfield’s Group Project regarding a generic wing scale 3D positioning and tracing system for Airbus Aircrafts.• Designed a standalone generic 3D positioning system with a potential to be incorporated into other systems to address accuracy issues when typically linking with AR technology such as Microsoft HoloLens.• Managed a team of seven to obtain a needed accuracy of no more than ±2mm in 3D positioning without using an optical system since the device will be used inside a wing during manufacturing processes.• Succeeded in the development of an assembly solution to reduce manual labour during wing assemblies by a factor 60 through detailed calibrated measurements for Airbus’ A320, A330 and A380 wings.

• Utilised funding and partnered with Bosch and General Motors on a feasibility study, exploring the replacement of a legacy LS1 engine with a newer Chevy L83 for two Stanford graduate courses to be ran on natural gas This required modifying the stoichiometric coefficients and specifying new parameters in the engine control unit software.• Modelled and designed new components and exhaust system in order to run it properly at five thousand rounds per minute with a $4k budget and assisted by one master student and Stanford’s technician.

• Participated in designing a micro-energy harvesting mechanism regarding a device consisting of a pyroelectric material attached to bimetal cantilevers by means of low stiffness beams granting a better efficiency and cost reduction.• Designed a new model by finding different variables needed to complete and generate appropriate simulations later-on and secure an infinite working cycle. • Involved in publishing a conference paper, establish its model of equations as well as improvements and benefits compared to previous devices.